Artificial intelligence (AI) is a broad concept referring to a machine that mimics cognitive functions that humas associate with the human mind, such as learning, problem solving and reasoning.
AI is commonly categorised as (1) Artificial Narrow Intelligence (ANI). Sometimes referred to as Weak AI, ANI specializes in one area. (2) Artificial General Intelligence (AGI). Sometimes referred to as Strong AI, or Human-Level AI, AGI refers to a computer that is as smart as a human across the board. (3) Artificial Superintelligence (ASI), an intellect smarter than the best human brains in practically every field.
John McCarthy, coined the term “Artificial Intelligence” in 1956. He complained that “As soon as it works, no one calls it AI anymore”. Artificial Narrow Intelligence (ANI) is widely used today in both devices (calculators, mobile phones, kitchen appliances and cars) and software applications.
Numerous AI platforms are available and they are constantly evolving, Some are specialised for specific industries or business functions, others are designed for general purpose use. Most of the better platforms are now available to be purchased on a usage basis, via a cloud platform. This has dramatically reduced the cost of AI projects. The best platforms include Microsoft Azure Machine Learning, IBM Watson, Google Deepmind, Google Cloud Prediction API, Rainbird and Tensorflow.
The best AI platforms include machine learning, automation, natural language processing (NLP) and cloud infrastructure. Robotics, often referred to as Robotic Process Automation (RPA), are often used for the Automation capability. Leading RPA tools are pre-integrated with AI platforms, enabling AI decision making to be integrated into existing business processes & IT Systems.
Leading RPA tools are pre-integrated with AI platforms, enabling AI decision making to be integrated into existing business processes & IT Systems. RPA automates the work flow in an organisation, at the point where machine learning or natural language processing/understanding is required, RPA passes control to the AI Platform. When the AI Platform returns the results, RPA can assess the level of confidence and determine if the AI results should be acted upon or passed to a human for verification.
UiPath’s IPA (Intelligent Process Automation) solution combines the most cutting-edge computer vision, integration and unattended robotics with third party cognitive services from Google, IBM, Microsoft and ABBYY. With a continuous release cycle, they are committed to offering more and more services in the future.
We’re partnered with UiPath to offer ‘Sarah’, our Orchestrator robot who is utilised by multiple T-Impact customers and consequently these companies benefit from a 70% cost reduction. We are the only firm to offer this product.